Feedback regulation in cell signalling: Lessons for cancer therapeutics.
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Modelling the molecular mechanisms of aging.Understanding the mTOR signaling pathway via mathematical modeling.The long non-coding RNA AK023948 enhances tumor progression in hepatocellular carcinoma.Transcriptional and Biochemical Alterations in Zebrafish Eleuthero-Embryos (Danio rerio) After Exposure to Synthetic Progestogen Dydrogesterone.Dissection of Kinase Isoforms through Orthogonal and Chemical Inducible Signaling Cascades.Cognitive Computing to Guide Molecular-Based Therapy Selection: Steps Forward amid Abundant Need.Dissecting Cell-Fate Determination Through Integrated Mathematical Modeling of the ERK/MAPK Signaling Pathway.Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer.Investigation of Novel Regulation of N-myristoyltransferase by Mammalian Target of Rapamycin in Breast Cancer CellsFitting mathematical models of biochemical pathways to steady state perturbation response data without simulating perturbation experiments
P2860
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P2860
Feedback regulation in cell signalling: Lessons for cancer therapeutics.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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name
Feedback regulation in cell signalling: Lessons for cancer therapeutics.
@en
type
label
Feedback regulation in cell signalling: Lessons for cancer therapeutics.
@en
prefLabel
Feedback regulation in cell signalling: Lessons for cancer therapeutics.
@en
P1476
Feedback regulation in cell signalling: Lessons for cancer therapeutics.
@en
P356
10.1016/J.SEMCDB.2015.09.024
P577
2015-10-16T00:00:00Z